Deep learning, a relatively new branch of machine learning, has been investigated for use in
a variety of biomedical applications. Deep learning algorithms have been used to analyze …

It is necessary to control the rheological properties of bolus to prevent aspiration. To know
the risk of aspiration for each person with difficulty in mastication and swallowing, it will be …

To meet the growing demands in flexible and wearable electronics, various sensors have
been designed for detecting and monitoring the physical quantity changes. However, most …

Background Oropharyngeal dysphagia (OD) is a highly prevalent symptom in older people.
Appropriate oropharyngeal sensory feedback is essential for safe and efficient swallowing …

Swallowing is a sensorimotor activity by which food, liquids, and saliva pass from the oral
cavity to the stomach. It is considered one of the most complex sensorimotor functions …

BACKGROUND: Sleep staging is an important part of sleep research. Traditional automatic
sleep staging based on machine learning requires extensive feature extraction and …

To realize a brain–machine interface to assist swallowing, neural signal decoding is
indispensable. Eight participants with temporal-lobe intracranial electrode implants for …

To reveal the specific differences in taste characteristics of Chinese rice wine, quantitative
description analysis, temporal check-all-that-apply (TCATA), temporal dominance of …

Mental practice using motor imagery (MP-MI) has been shown to improve motor outcomes of
upper and lower extremities especially when combined with physical exercise. Here, we …

Electrokinesiographic study of swallowing (EKSS) can be useful for the assessment of
patients with suspected or overt neurogenic dysphagia. EKSS consists of multichannel …